LSUN dataset
E971320
UNEXPLORED
The LSUN dataset is a large-scale image collection focused on scenes and objects, widely used to train and evaluate deep learning models for image generation and recognition.
All labels observed (1)
| Label | Occurrences |
|---|---|
| LSUN dataset canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T12207414 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSUN dataset Context triple: [Deep Convolutional GAN, appliedTo, LSUN dataset]
-
A.
ImageNet
ImageNet is a large-scale visual database widely used for training and benchmarking image classification and computer vision algorithms.
-
B.
LSRC
LSRC is a major interdisciplinary science and engineering research facility at Duke University that houses laboratories, classrooms, and collaborative spaces for multiple scientific disciplines.
-
C.
CIFAR-100
CIFAR-100 is a widely used image classification dataset consisting of 60,000 32×32 color images across 100 object categories, commonly used to benchmark machine learning models.
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D.
CIFAR
CIFAR (the Canadian Institute for Advanced Research) is a Canadian global research organization that supports long-term, collaborative, interdisciplinary research, including major initiatives in artificial intelligence.
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E.
CIFAR-10
CIFAR-10 is a widely used computer vision dataset of 60,000 labeled low-resolution images across 10 object classes, commonly employed to benchmark image classification algorithms.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LSUN dataset Target entity description: The LSUN dataset is a large-scale image collection focused on scenes and objects, widely used to train and evaluate deep learning models for image generation and recognition.
-
A.
ImageNet
ImageNet is a large-scale visual database widely used for training and benchmarking image classification and computer vision algorithms.
-
B.
LSRC
LSRC is a major interdisciplinary science and engineering research facility at Duke University that houses laboratories, classrooms, and collaborative spaces for multiple scientific disciplines.
-
C.
CIFAR-100
CIFAR-100 is a widely used image classification dataset consisting of 60,000 32×32 color images across 100 object categories, commonly used to benchmark machine learning models.
-
D.
CIFAR
CIFAR (the Canadian Institute for Advanced Research) is a Canadian global research organization that supports long-term, collaborative, interdisciplinary research, including major initiatives in artificial intelligence.
-
E.
CIFAR-10
CIFAR-10 is a widely used computer vision dataset of 60,000 labeled low-resolution images across 10 object classes, commonly employed to benchmark image classification algorithms.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.